Triple
T5405832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okavango River |
E120890
|
entity |
| Predicate | doesNotEmptyInto |
P32404
|
FINISHED |
| Object | ocean |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ocean | Statement: [Okavango River, doesNotEmptyInto, ocean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotEmptyInto Context triple: [Okavango River, doesNotEmptyInto, ocean]
-
A.
isNonzeroFor
Indicates that a given value, function, or quantity is not equal to zero under specified conditions or for specified inputs.
-
B.
doesNotDrainTo
chosen
Indicates that one entity does not channel, carry, or direct flow (such as water or other material) into another entity or location.
-
C.
doesNotEnter
Indicates that one entity refrains from or fails to go into or cross the boundary of another entity or location.
-
D.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
E.
doesNotHave
Indicates that one entity lacks, is missing, or is not in possession of another entity or attribute.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87924c588190beb4a1be27f8d11b |
completed | March 20, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69bd8467e6b48190b9eaa9de67072e06 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:05 p.m.